Spacy.io
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Semantic analysis of the Reddit hivemind
Ines Montani
spaCy v2.0 β€” Industrial-strength Natural Language Processing
3
β€’

spaCy is a free, open-source library for advanced Natural Language Processing in Python. The new release features entirely new deep learning-powered models for spaCy's tagger, parser and entity recognizer. The new models are 10Γ— smaller, 20% more accurate and even cheaper to run than the previous generation.

Replies
Anto Binish Kaspar

Since we started using spaCy, things have moved a lot faster at Roanuz.com. It speeds up our internal developer's training, our new developers learn it quickly and start their AI programming right away. spaCy NLP accuracy improved our quality.

Pros:

Simplicity and Performance

Cons:

Nothing actually, it does what it promises.

Anto Binish Kaspar
Since we started using spaCy, things have moved a lot faster at Roanuz.com It speeds up our internal developer's training, our new developers learn it quickly and start their AI programming right away. spaCy NLP accuracy improved our quality.
Matthew Honnibal
Very pleased to finally ship this! πŸŽ‰ Even from the first 0.1 alphas, the response to spaCy has been super kind. But almost as soon as we released the library, neural network technologies took off in a big way, leaving us a lot of catching up to do to get the library really fulfilling its promise: state-of-the-art natural language processing technologies, in an easy to use and production-ready library. In addition to the better models, we addressed every open bug report for this release. There are also tonnes of features we really love, such as the new pipeline management and system for adding user extensions. We hope you like it as much as we do!